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Monitoring COVID-19 Disease Using Big Data and Artificial Intelligence-Driven Tools

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Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 322))

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Abstract

With the daily huge growth in the number of confirmed COVID-19 cases, COVID-19 extremely threatens public health, countries’ economic, social life, and the international relations around the world. The accurate diagnosis based on a huge amount of data has become a serious issue that effect the disease control, especially in the widespread countries. To monitor COVID-19, big data analytics tools and Artificial Intelligence (AI) techniques play a significant role in many aspects. The integration between both technologies will help healthcare workers for early and accurately diagnose COVID-19 cases. In addition, the strategic planning for crisis management is supported by aggregation of big data to be use in the epidemiologic directions. Moreover, AI and big data driven tools presents visualization for COVID-19 outbreak information that help in detecting risk allocation and regional transmissions. In this chapter, a review of recent works related to COVID-19 containment using AI and big data techniques is introduced, showing their main findings and limitations to make it easy for researchers to investigate new techniques that will help in COVID-19 pandemic.

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Authors and Affiliations

  1. Computer Engineering Department, MISR Higher Institute for Engineering and Technology, Mansoura, Egypt

    Sally M. Elghamrawy

  2. Faculty of Science, Helwan University, Helwan, Egypt

    Ashraf Darwish

  3. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  4. Scientific Research Group in Egypt, Giza, Egypt

    Sally M. Elghamrawy, Ashraf Darwish & Aboul Ella Hassanien

Authors
  1. Sally M. Elghamrawy
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  2. Ashraf Darwish
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  3. Aboul Ella Hassanien
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Corresponding author

Correspondence to Sally M. Elghamrawy .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Science, Helwan University, Cairo, Egypt

    Ashraf Darwish

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Elghamrawy, S.M., Darwish, A., Hassanien, A.E. (2021). Monitoring COVID-19 Disease Using Big Data and Artificial Intelligence-Driven Tools. In: Hassanien, A.E., Darwish, A. (eds) Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches. Studies in Systems, Decision and Control, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-030-63307-3_10

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